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Energies
Volume 15
Issue 22
10.3390/en15228480
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Article

A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA

by
Bilal Naji Alhasnawi
1,*,
Basil H. Jasim
2,
Arshad Naji Alhasnawi
3,
Bishoy E. Sedhom
4,
Ali M. Jasim
2,5,
Azam Khalili
6,
Vladimír Bureš
7,
Alessandro Burgio
8 and
Pierluigi Siano
9,10,*
1
Department of Computer Technical Engineering, College of Information Technology, Imam Ja’afar Al-Sadiq University, Al-Muthanna 66002, Iraq
2
Electrical Engineering Department, Basrah University, Basrah 61001, Iraq
3
Department of Biology, College of Education for Pure Sciences, Al-Muthanna University, Samawah 66001, Iraq
4
Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt
5
Department of Communications Engineering, Iraq University College, Basrah 61001, Iraq
6
Department of Electrical Engineering, Malayer University, Malayer 65719-95863, Iran
7
Faculty of Informatics and Management, University of Hradec Králové, 50003 Hradec Králové, Czech Republic
8
Independent Researcher, 20124 Milano, Italy
9
Management and Innovation Systems Department, Salerno University, 84084 Fisciano, Italy
10
Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
*
Authors to whom correspondence should be addressed.
Energies 2022, 15(22), 8480; https://doi.org/10.3390/en15228480
Submission received: 12 October 2022 / Revised: 2 November 2022 / Accepted: 9 November 2022 / Published: 13 November 2022
(This article belongs to the Special Issue Renewable Energy Systems for Energy Communities)
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Abstract

In this study, an improved artificial intelligence algorithms augmented Internet of Things (IoT)-based maximum power point tracking (MPPT) for photovoltaic (PV) system has been proposed. This will facilitate preventive maintenance, fault detection, and historical analysis of the plant in addition to real-time monitoring. Further, the simulation results validate the improved performance of the suggested method. To demonstrate the superiority of the proposed MPPT algorithm over current methods, such as cuckoo search algorithms and the incremental conductance approach, a performance comparison is offered. The outcomes demonstrate the suggested algorithm’s capability to track the Global Maximum Power Point (GMPP) with quicker convergence and less power oscillations than before. The results clearly show that the artificial intelligence algorithm-based MPPT is capable of tracking the GMPP with an average efficiency of 88%, and an average tracking time of 0.029 s, proving both its viability and effectiveness.
Keywords: MPPT; SCADA; solar system; Internet of Things MPPT; SCADA; solar system; Internet of Things

Share and Cite

MDPI and ACS Style

Alhasnawi, B.N.; Jasim, B.H.; Alhasnawi, A.N.; Sedhom, B.E.; Jasim, A.M.; Khalili, A.; Bureš, V.; Burgio, A.; Siano, P. A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA. Energies 2022, 15, 8480. https://doi.org/10.3390/en15228480

AMA Style

Alhasnawi BN, Jasim BH, Alhasnawi AN, Sedhom BE, Jasim AM, Khalili A, Bureš V, Burgio A, Siano P. A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA. Energies. 2022; 15(22):8480. https://doi.org/10.3390/en15228480

Chicago/Turabian Style

Alhasnawi, Bilal Naji, Basil H. Jasim, Arshad Naji Alhasnawi, Bishoy E. Sedhom, Ali M. Jasim, Azam Khalili, Vladimír Bureš, Alessandro Burgio, and Pierluigi Siano. 2022. "A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA" Energies 15, no. 22: 8480. https://doi.org/10.3390/en15228480

APA Style

Alhasnawi, B. N., Jasim, B. H., Alhasnawi, A. N., Sedhom, B. E., Jasim, A. M., Khalili, A., Bureš, V., Burgio, A., & Siano, P. (2022). A Novel Approach to Achieve MPPT for Photovoltaic System Based SCADA. Energies, 15(22), 8480. https://doi.org/10.3390/en15228480

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